Data Scientist Internship

Location: Outram

*** Mention DataYoshi when applying ***


Plutus Mazu is a budding quantitative hedge fund incubated and backed by Shen Yao Holdings. Plutus Mazu seeks to deliver high-quality, risk-adjusted relative returns in any climate and achieves that end by utilizing quantitative and algorithmic methods to produce an optimized portfolio of signals diversified across geography, asset class, and risk factors.


We are seeking Data Scientists Interns as part of our efforts to identify market inefficiencies from data. The ideal candidate is an independent self-starter eager to build something new and exciting in a collaborative fashion. You are also intellectually curious, cerebral, and itch for a challenge in this highly-competitive field. You have a compulsive need for problem-solving and are able to offer constructive feedback and be a part of our iterative firm-building process.

Our current hiring focus is data scientists who can own the data pipelining and data workflow processes to derive unique insights or make accurate forecasts from data. You should have a penchant for effective feature engineering in the context of finance and also have a deep understanding of the methods and models that you will employ, including their limitations and assumptions in the context of their application.

Further, you can explain technical concepts within your expertise in a clear and concise manner to facilitate cross-domain sharing and collaborative research. Although prior finance knowledge is not necessary, you expect to have an application-focused mindset when applying your skills and have a passion for learning about the markets where applicable. Given some insight or forecasting objective related to our quantitative trading efforts, you are able to retrieve data from unique data sources, clean it and ingest it; with the explicit goal of applying appropriate statistical analysis & modeling techniques to derive some unique insights and forecasts.

What We Offer

We are at the intersection of competing in one of the most demanding fields and a start-up. Our challenges are therefore unique and present opportunities that are correspondingly unique.

Cultural Perspective

We offer a highly flat structure to facilitate high-speed decisions and collaborative efforts. The problems we are trying to solve are often open-ended in nature, have no existing solutions, and require a healthy mixture of creativity, respect for empiricism, and cross-domain technical skills. To facilitate solving these problems, we offer unconstrained exploration and learning opportunities in a self-directed manner. Our principal focus and our belief are that empowering great individuals and unleashing their potential is to everyone’s benefit. We offer the benefits of a flexible and iterative start-up culture with the stability of an established firm. The relative infancy of our firm also encourages unconventional critical thinking, openness, and a mindset of unending improvement.

Career Perspective

All our full-timers start as interns as part of our efforts to reduce adverse selection for both parties. High performers are rewarded with a natural conversion to a competitive, long-term career with us. As we grow and carry out expansion plans, you will have opportunities to leave your mark and contribute outside of your primary responsibilities. We operate on a merit-based reward system, with competitive profit-sharing schemes benchmarked to firm-wide performance.

Research Perspective

We are methodology agnostic, and judge ideas in a meritocratic fashion. Unique perspectives to a problem and being able to communicate the merits of those ideas clearly will be rewarded with the opportunity to establish a new process in our environment. Our investment methodology offers a wide and deep playing field for the discovery of ground-breaking ideas.

You’ll Bring

  • MSc/BSc in or pursuing one from a reputable university in Computer Science, Statistics, Data Science, Applied Mathematics, or Computer Engineering
  • Exceptional candidates without advanced degrees may apply and are also considered
  • Proficiency in Python and popular data science libraries; bonus languages like C++, Rust
  • Experience in applying statistical methods and machine learning; in the context of finance highly preferred
  • Experience in efficient data retrieval with RDMS such as mySQL and time-series DB such as InfluxDB
  • Experience in writing performant code in the context of data science highly preferred
  • Highly motivated, self-starter with an adaptable attitude to challenges
  • Views problems as an opportunity to learn something new and motivation for erudition
  • Amicable team-player with the ability to advocate for your views and perspectives in a clear manner
  • Preferably familiar with modern literature on good software engineering, clean coding, and architectural practices

*** Mention DataYoshi when applying ***

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